65 lines
2.1 KiB
Org Mode
65 lines
2.1 KiB
Org Mode
#+TITLE: SKILL: Model Explorer Agent (Universal Literate Note)
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#+ID: skill-model-explorer
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#+STARTUP: content
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#+FILETAGS: :discovery:telemetry:psf:
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* Overview
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The *Model Explorer Agent* provides dynamic introspection of the system's LLM capabilities. It intercepts specific user commands to list and describe all available models across providers, rendering them as native Org-mode tables.
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* Phase A: Demand (PRD)
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:PROPERTIES:
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:STATUS: FROZEN
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:END:
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** 1. Purpose
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Define the interfaces for system-wide model discovery and transparency.
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** 2. User Needs
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- *Transparency:* Visible list of models and context windows.
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- *Determinism:* Metadata retrieval must bypass System 1 for high fidelity.
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- *Integration:* Results rendered as native Org-mode tables.
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** 3. Success Criteria
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*** TODO Command Trigger Verification (@agent list models)
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*** TODO Provider Registry Introspection
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*** TODO Org Table Formatting Accuracy
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* Phase B: Blueprint (PROTOCOL)
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:PROPERTIES:
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:STATUS: SIGNED
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:END:
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** 1. Architectural Intent
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Interfaces for dynamic skill introspection and Emacs UI injection. Source of truth is the active `*skills-registry*`.
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** 2. Semantic Interfaces
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#+begin_src lisp
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(defun trigger-skill-model-explorer (context)
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"Triggers on '@agent list models' in buffer updates.")
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(defun build-org-table-for-models ()
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"Dynamically builds an Org table from registered provider skills.")
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(defun execute-skill-model-explorer (proposed-action context)
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"Injects the model table into the active Emacs buffer.")
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#+end_src
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* Phase D: Build (Implementation)
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** Provider Introspection
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#+begin_src lisp :tangle projects/org-skill-model-explorer/src/explorer-logic.lisp
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(defun build-org-table-for-models ()
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(let ((table-rows (list "| Provider | Model ID | Context |" "|----------+----------+---------|")))
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;; Logic to iterate through skills-registry and call get-available-models
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(format nil "~{~a~^~%~}" table-rows)))
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#+end_src
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* Registration
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#+begin_src lisp
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(defskill :skill-model-explorer
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:priority 85
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:trigger #'trigger-skill-model-explorer
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:neuro (lambda (context) nil)
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:symbolic #'execute-skill-model-explorer)
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#+end_src
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